معرفی
Ying Ding is an Associate Professor of Biostatistics at the University of Pittsburgh's Dietrich School of Arts and Sciences, serving as Associate Dean for Graduate Academic Affairs and Faculty Senate President. She holds a Ph.D. from the University of Michigan (2010), an M.A. from Indiana University (2005), and a B.S. from Nanjing University (2003).
Her research focuses on semiparametric methods for time-to-event data, precision medicine, multi-omics data integration, and deep learning in causal inference. Collaborative work spans cancer studies, neuropsychiatric disorders (e.g., schizophrenia), aging-related research (e.g., Alzheimer's disease and age-related macular degeneration), and pediatric pulmonary diseases (e.g., asthma).
Dr. Ding has secured significant funding, including:
- R01GM141076 (2022–2026): $800,000 for statistical methods in multivariate survival data
- NIH/NEI R21EY030488 (2020–2023): $270,000 for AMD progression prediction
- R03MH108849 (2016–2018): $100,000 for proteomics analysis in schizophrenia
Her awards include the 2021 James L. Craig Excellence in Education Award and 2022 Delta Omega Honor Society induction. Her work bridges statistical methodology with clinical applications, emphasizing reproducibility and translational impact.
Key educational contributions include teaching courses like Applied Survival Analysis and Biostatistics Seminar. She advises students on projects combining statistical theory with real-world health challenges.
